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SWAT
2010
Springer
282views Algorithms» more  SWAT 2010»
16 years 12 days ago
Better Bounds on Online Unit Clustering
Unit Clustering is the problem of dividing a set of points from a metric space into a minimal number of subsets such that the points in each subset are enclosable by a unit ball. W...
Martin R. Ehmsen, Kim S. Larsen
WABI
2001
Springer
138views Bioinformatics» more  WABI 2001»
15 years 11 months ago
Algorithms for Finding Gene Clusters
Abstract. Comparing gene orders in completely sequenced genomes is a standard approach to locate clusters of functionally associated genes. Often, gene orders are modeled as permut...
Steffen Heber, Jens Stoye
FSKD
2006
Springer
147views Fuzzy Logic» more  FSKD 2006»
15 years 11 months ago
Adaptive Nearest Neighbor Classifier Based on Supervised Ellipsoid Clustering
Nearest neighbor classifier is a widely-used effective method for multi-class problems. However, it suffers from the problem of the curse of dimensionality in high dimensional spac...
Guo-Jun Zhang, Ji-Xiang Du, De-Shuang Huang, Tat-M...
WSC
2008
15 years 9 months ago
Study of optimal load lock dedication for cluster tools
Cluster or chamber tools are often used in the semiconductor industry. In a research environment, moving to smaller device dimensions requires experimentation with new chamber typ...
Julie Christopher
ICCV
2009
IEEE
17 years 9 days ago
Constrained Clustering by Spectral Kernel Learning
Clustering performance can often be greatly improved by leveraging side information. In this paper, we consider constrained clustering with pairwise constraints, which specify s...
Zhenguo Li, Jianzhuang Liu